Overview

Dataset statistics

Number of variables42
Number of observations76
Missing cells1522
Missing cells (%)47.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory28.0 KiB
Average record size in memory377.7 B

Variable types

Text1
Numeric35
Categorical5
DateTime1

Dataset

Description2023년 12월 기준 경상남도 거제시 외국인 인구현황 자료로, 남, 여, 5세 단위 구분, 각 면동 별 인구를 국적 별로 분류하였습니다.
Author경상남도 거제시
URLhttps://bigdata.gyeongnam.go.kr/index.gn?menuCd=DOM_000000114002001000&publicdatapk=3079542

Alerts

데이터기준일자 has constant value ""Constant
70-74세 is highly imbalanced (50.3%)Imbalance
75-79세 is highly imbalanced (64.2%)Imbalance
80-84세 is highly imbalanced (89.9%)Imbalance
85-89세 is highly imbalanced (78.5%)Imbalance
90-94세 is highly imbalanced (82.4%)Imbalance
0-4세 has 51 (67.1%) missing valuesMissing
05-09세 has 52 (68.4%) missing valuesMissing
10-14세 has 56 (73.7%) missing valuesMissing
15-19세 has 58 (76.3%) missing valuesMissing
20-24세 has 50 (65.8%) missing valuesMissing
25-29세 has 34 (44.7%) missing valuesMissing
30-34세 has 31 (40.8%) missing valuesMissing
35-39세 has 33 (43.4%) missing valuesMissing
40-44세 has 23 (30.3%) missing valuesMissing
45-49세 has 31 (40.8%) missing valuesMissing
50-54세 has 36 (47.4%) missing valuesMissing
55-59세 has 42 (55.3%) missing valuesMissing
60-64세 has 49 (64.5%) missing valuesMissing
65-69세 has 55 (72.4%) missing valuesMissing
일운면 has 51 (67.1%) missing valuesMissing
동부면 has 64 (84.2%) missing valuesMissing
남부면 has 66 (86.8%) missing valuesMissing
거제면 has 58 (76.3%) missing valuesMissing
둔덕면 has 64 (84.2%) missing valuesMissing
사등면 has 50 (65.8%) missing valuesMissing
연초면 has 56 (73.7%) missing valuesMissing
하청면 has 59 (77.6%) missing valuesMissing
장목면 has 60 (78.9%) missing valuesMissing
장승포동 has 58 (76.3%) missing valuesMissing
능포동 has 59 (77.6%) missing valuesMissing
아주동 has 42 (55.3%) missing valuesMissing
옥포1동 has 27 (35.5%) missing valuesMissing
옥포2동 has 32 (42.1%) missing valuesMissing
장평동 has 25 (32.9%) missing valuesMissing
고현동 has 46 (60.5%) missing valuesMissing
상문동 has 56 (73.7%) missing valuesMissing
수양동 has 48 (63.2%) missing valuesMissing
구분 has unique valuesUnique
남 has 3 (3.9%) zerosZeros
여 has 17 (22.4%) zerosZeros

Reproduction

Analysis started2024-04-16 06:53:13.944548
Analysis finished2024-04-16 06:53:14.311767
Duration0.37 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

구분
Text

UNIQUE 

Distinct76
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size740.0 B
2024-04-16T15:53:14.476269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length7
Mean length3.8026316
Min length2

Characters and Unicode

Total characters289
Distinct characters115
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique76 ?
Unique (%)100.0%

Sample

1st row합계
2nd row가나
3rd row그리스
4th row나이지리아
5th row남아프리카공화국
ValueCountFrequency (%)
합계 1
 
1.3%
이집트 1
 
1.3%
캄보디아 1
 
1.3%
카타르 1
 
1.3%
카자흐스탄 1
 
1.3%
중국 1
 
1.3%
일본 1
 
1.3%
인도네시아 1
 
1.3%
인도 1
 
1.3%
가나 1
 
1.3%
Other values (66) 66
86.8%
2024-04-16T15:53:15.004437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
아 19
 
6.6%
스 11
 
3.8%
이 10
 
3.5%
국 10
 
3.5%
리 8
 
2.8%
르 8
 
2.8%
시 7
 
2.4%
라 6
 
2.1%
인 5
 
1.7%
나 5
 
1.7%
Other values (105) 200
69.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 287
99.3%
Open Punctuation 1
 
0.3%
Close Punctuation 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
아 19
 
6.6%
스 11
 
3.8%
이 10
 
3.5%
국 10
 
3.5%
리 8
 
2.8%
르 8
 
2.8%
시 7
 
2.4%
라 6
 
2.1%
인 5
 
1.7%
나 5
 
1.7%
Other values (103) 198
69.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 287
99.3%
Common 2
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
아 19
 
6.6%
스 11
 
3.8%
이 10
 
3.5%
국 10
 
3.5%
리 8
 
2.8%
르 8
 
2.8%
시 7
 
2.4%
라 6
 
2.1%
인 5
 
1.7%
나 5
 
1.7%
Other values (103) 198
69.0%
Common
ValueCountFrequency (%)
( 1
50.0%
) 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 287
99.3%
ASCII 2
 
0.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
아 19
 
6.6%
스 11
 
3.8%
이 10
 
3.5%
국 10
 
3.5%
리 8
 
2.8%
르 8
 
2.8%
시 7
 
2.4%
라 6
 
2.1%
인 5
 
1.7%
나 5
 
1.7%
Other values (103) 198
69.0%
ASCII
ValueCountFrequency (%)
( 1
50.0%
) 1
50.0%

계(2022년 기준)
Real number (ℝ)

Distinct41
Distinct (%)53.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean154.23684
Minimum1
Maximum5861
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size816.0 B
2024-04-16T15:53:15.110511image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median8
Q378.25
95-th percentile381.5
Maximum5861
Range5860
Interquartile range (IQR)76.25

Descriptive statistics

Standard deviation688.83118
Coefficient of variation (CV)4.4660612
Kurtosis65.041646
Mean154.23684
Median Absolute Deviation (MAD)7
Skewness7.8506115
Sum11722
Variance474488.4
MonotonicityNot monotonic
2024-04-16T15:53:15.206846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
1 11
 
14.5%
2 9
 
11.8%
5 5
 
6.6%
6 4
 
5.3%
8 4
 
5.3%
3 3
 
3.9%
4 3
 
3.9%
7 2
 
2.6%
20 2
 
2.6%
19 2
 
2.6%
Other values (31) 31
40.8%
ValueCountFrequency (%)
1 11
14.5%
2 9
11.8%
3 3
 
3.9%
4 3
 
3.9%
5 5
6.6%
6 4
 
5.3%
7 2
 
2.6%
8 4
 
5.3%
9 1
 
1.3%
11 1
 
1.3%
ValueCountFrequency (%)
5861 1
1.3%
1311 1
1.3%
626 1
1.3%
419 1
1.3%
369 1
1.3%
366 1
1.3%
345 1
1.3%
291 1
1.3%
273 1
1.3%
245 1
1.3%

남
Real number (ℝ)

ZEROS 

Distinct39
Distinct (%)51.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean109.28947
Minimum0
Maximum4153
Zeros3
Zeros (%)3.9%
Negative0
Negative (%)0.0%
Memory size816.0 B
2024-04-16T15:53:15.311525image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median5
Q341.75
95-th percentile342.75
Maximum4153
Range4153
Interquartile range (IQR)40.75

Descriptive statistics

Standard deviation489.46929
Coefficient of variation (CV)4.4786499
Kurtosis64.262011
Mean109.28947
Median Absolute Deviation (MAD)4
Skewness7.7828146
Sum8306
Variance239580.18
MonotonicityNot monotonic
2024-04-16T15:53:15.414455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
1 18
23.7%
2 6
 
7.9%
3 5
 
6.6%
4 5
 
6.6%
0 3
 
3.9%
5 3
 
3.9%
14 2
 
2.6%
13 2
 
2.6%
10 2
 
2.6%
4153 1
 
1.3%
Other values (29) 29
38.2%
ValueCountFrequency (%)
0 3
 
3.9%
1 18
23.7%
2 6
 
7.9%
3 5
 
6.6%
4 5
 
6.6%
5 3
 
3.9%
6 1
 
1.3%
7 1
 
1.3%
8 1
 
1.3%
9 1
 
1.3%
ValueCountFrequency (%)
4153 1
1.3%
875 1
1.3%
574 1
1.3%
399 1
1.3%
324 1
1.3%
291 1
1.3%
243 1
1.3%
185 1
1.3%
132 1
1.3%
129 1
1.3%

여
Real number (ℝ)

ZEROS 

Distinct28
Distinct (%)36.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean44.947368
Minimum0
Maximum1708
Zeros17
Zeros (%)22.4%
Negative0
Negative (%)0.0%
Memory size816.0 B
2024-04-16T15:53:15.509216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q311.5
95-th percentile189
Maximum1708
Range1708
Interquartile range (IQR)10.5

Descriptive statistics

Standard deviation203.61879
Coefficient of variation (CV)4.5301604
Kurtosis61.368418
Mean44.947368
Median Absolute Deviation (MAD)2
Skewness7.5722091
Sum3416
Variance41460.611
MonotonicityNot monotonic
2024-04-16T15:53:15.607408image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
0 17
22.4%
1 13
17.1%
2 10
13.2%
5 4
 
5.3%
3 4
 
5.3%
6 3
 
3.9%
50 2
 
2.6%
4 2
 
2.6%
7 2
 
2.6%
28 1
 
1.3%
Other values (18) 18
23.7%
ValueCountFrequency (%)
0 17
22.4%
1 13
17.1%
2 10
13.2%
3 4
 
5.3%
4 2
 
2.6%
5 4
 
5.3%
6 3
 
3.9%
7 2
 
2.6%
10 1
 
1.3%
11 1
 
1.3%
ValueCountFrequency (%)
1708 1
1.3%
436 1
1.3%
234 1
1.3%
204 1
1.3%
184 1
1.3%
69 1
1.3%
67 1
1.3%
62 1
1.3%
52 1
1.3%
50 2
2.6%

0-4세
Real number (ℝ)

MISSING 

Distinct10
Distinct (%)40.0%
Missing51
Missing (%)67.1%
Infinite0
Infinite (%)0.0%
Mean8.64
Minimum1
Maximum108
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size816.0 B
2024-04-16T15:53:15.709051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median3
Q37
95-th percentile22
Maximum108
Range107
Interquartile range (IQR)6

Descriptive statistics

Standard deviation21.35002
Coefficient of variation (CV)2.4710671
Kurtosis21.72161
Mean8.64
Median Absolute Deviation (MAD)2
Skewness4.5591578
Sum216
Variance455.82333
MonotonicityNot monotonic
2024-04-16T15:53:15.792773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
1 11
 
14.5%
4 3
 
3.9%
10 2
 
2.6%
3 2
 
2.6%
7 2
 
2.6%
108 1
 
1.3%
6 1
 
1.3%
9 1
 
1.3%
5 1
 
1.3%
25 1
 
1.3%
(Missing) 51
67.1%
ValueCountFrequency (%)
1 11
14.5%
3 2
 
2.6%
4 3
 
3.9%
5 1
 
1.3%
6 1
 
1.3%
7 2
 
2.6%
9 1
 
1.3%
10 2
 
2.6%
25 1
 
1.3%
108 1
 
1.3%
ValueCountFrequency (%)
108 1
 
1.3%
25 1
 
1.3%
10 2
 
2.6%
9 1
 
1.3%
7 2
 
2.6%
6 1
 
1.3%
5 1
 
1.3%
4 3
 
3.9%
3 2
 
2.6%
1 11
14.5%

05-09세
Real number (ℝ)

MISSING 

Distinct10
Distinct (%)41.7%
Missing52
Missing (%)68.4%
Infinite0
Infinite (%)0.0%
Mean8.3333333
Minimum1
Maximum100
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size816.0 B
2024-04-16T15:53:15.873830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2.5
Q37
95-th percentile19.1
Maximum100
Range99
Interquartile range (IQR)6

Descriptive statistics

Standard deviation20.140089
Coefficient of variation (CV)2.4168107
Kurtosis20.815633
Mean8.3333333
Median Absolute Deviation (MAD)1.5
Skewness4.4526385
Sum200
Variance405.62319
MonotonicityNot monotonic
2024-04-16T15:53:15.957691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
1 11
 
14.5%
4 3
 
3.9%
7 2
 
2.6%
3 2
 
2.6%
100 1
 
1.3%
10 1
 
1.3%
2 1
 
1.3%
11 1
 
1.3%
14 1
 
1.3%
20 1
 
1.3%
(Missing) 52
68.4%
ValueCountFrequency (%)
1 11
14.5%
2 1
 
1.3%
3 2
 
2.6%
4 3
 
3.9%
7 2
 
2.6%
10 1
 
1.3%
11 1
 
1.3%
14 1
 
1.3%
20 1
 
1.3%
100 1
 
1.3%
ValueCountFrequency (%)
100 1
 
1.3%
20 1
 
1.3%
14 1
 
1.3%
11 1
 
1.3%
10 1
 
1.3%
7 2
 
2.6%
4 3
 
3.9%
3 2
 
2.6%
2 1
 
1.3%
1 11
14.5%

10-14세
Real number (ℝ)

MISSING 

Distinct8
Distinct (%)40.0%
Missing56
Missing (%)73.7%
Infinite0
Infinite (%)0.0%
Mean8.4
Minimum1
Maximum84
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size816.0 B
2024-04-16T15:53:16.036185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q34
95-th percentile29.85
Maximum84
Range83
Interquartile range (IQR)3

Descriptive statistics

Standard deviation18.849543
Coefficient of variation (CV)2.2439932
Kurtosis15.239437
Mean8.4
Median Absolute Deviation (MAD)1
Skewness3.7904518
Sum168
Variance355.30526
MonotonicityNot monotonic
2024-04-16T15:53:16.112875image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
1 7
 
9.2%
3 4
 
5.3%
2 4
 
5.3%
84 1
 
1.3%
10 1
 
1.3%
7 1
 
1.3%
27 1
 
1.3%
13 1
 
1.3%
(Missing) 56
73.7%
ValueCountFrequency (%)
1 7
9.2%
2 4
5.3%
3 4
5.3%
7 1
 
1.3%
10 1
 
1.3%
13 1
 
1.3%
27 1
 
1.3%
84 1
 
1.3%
ValueCountFrequency (%)
84 1
 
1.3%
27 1
 
1.3%
13 1
 
1.3%
10 1
 
1.3%
7 1
 
1.3%
3 4
5.3%
2 4
5.3%
1 7
9.2%

15-19세
Real number (ℝ)

MISSING 

Distinct8
Distinct (%)44.4%
Missing58
Missing (%)76.3%
Infinite0
Infinite (%)0.0%
Mean7
Minimum1
Maximum63
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size816.0 B
2024-04-16T15:53:16.191351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1.5
Q34.75
95-th percentile29.85
Maximum63
Range62
Interquartile range (IQR)3.75

Descriptive statistics

Standard deviation15.033296
Coefficient of variation (CV)2.1476138
Kurtosis12.68689
Mean7
Median Absolute Deviation (MAD)0.5
Skewness3.4706017
Sum126
Variance226
MonotonicityNot monotonic
2024-04-16T15:53:16.269744image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
1 9
 
11.8%
2 3
 
3.9%
63 1
 
1.3%
6 1
 
1.3%
24 1
 
1.3%
4 1
 
1.3%
5 1
 
1.3%
9 1
 
1.3%
(Missing) 58
76.3%
ValueCountFrequency (%)
1 9
11.8%
2 3
 
3.9%
4 1
 
1.3%
5 1
 
1.3%
6 1
 
1.3%
9 1
 
1.3%
24 1
 
1.3%
63 1
 
1.3%
ValueCountFrequency (%)
63 1
 
1.3%
24 1
 
1.3%
9 1
 
1.3%
6 1
 
1.3%
5 1
 
1.3%
4 1
 
1.3%
2 3
 
3.9%
1 9
11.8%

20-24세
Real number (ℝ)

MISSING 

Distinct16
Distinct (%)61.5%
Missing50
Missing (%)65.8%
Infinite0
Infinite (%)0.0%
Mean29.538462
Minimum1
Maximum384
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size816.0 B
2024-04-16T15:53:16.366546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median4
Q311.25
95-th percentile160
Maximum384
Range383
Interquartile range (IQR)10.25

Descriptive statistics

Standard deviation82.102
Coefficient of variation (CV)2.7794948
Kurtosis15.210987
Mean29.538462
Median Absolute Deviation (MAD)3
Skewness3.8395372
Sum768
Variance6740.7385
MonotonicityNot monotonic
2024-04-16T15:53:16.461449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
1 9
 
11.8%
4 2
 
2.6%
3 2
 
2.6%
43 1
 
1.3%
6 1
 
1.3%
14 1
 
1.3%
8 1
 
1.3%
5 1
 
1.3%
384 1
 
1.3%
7 1
 
1.3%
Other values (6) 6
 
7.9%
(Missing) 50
65.8%
ValueCountFrequency (%)
1 9
11.8%
2 1
 
1.3%
3 2
 
2.6%
4 2
 
2.6%
5 1
 
1.3%
6 1
 
1.3%
7 1
 
1.3%
8 1
 
1.3%
9 1
 
1.3%
12 1
 
1.3%
ValueCountFrequency (%)
384 1
1.3%
199 1
1.3%
43 1
1.3%
34 1
1.3%
22 1
1.3%
14 1
1.3%
12 1
1.3%
9 1
1.3%
8 1
1.3%
7 1
1.3%

25-29세
Real number (ℝ)

MISSING 

Distinct19
Distinct (%)45.2%
Missing34
Missing (%)44.7%
Infinite0
Infinite (%)0.0%
Mean39.333333
Minimum1
Maximum826
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size816.0 B
2024-04-16T15:53:16.559228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median4.5
Q312.75
95-th percentile102.8
Maximum826
Range825
Interquartile range (IQR)10.75

Descriptive statistics

Standard deviation131.18831
Coefficient of variation (CV)3.3352961
Kurtosis33.416981
Mean39.333333
Median Absolute Deviation (MAD)3.5
Skewness5.5926338
Sum1652
Variance17210.374
MonotonicityNot monotonic
2024-04-16T15:53:16.644940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
1 10
 
13.2%
2 5
 
6.6%
3 4
 
5.3%
9 3
 
3.9%
5 2
 
2.6%
6 2
 
2.6%
4 2
 
2.6%
75 2
 
2.6%
8 2
 
2.6%
233 1
 
1.3%
Other values (9) 9
 
11.8%
(Missing) 34
44.7%
ValueCountFrequency (%)
1 10
13.2%
2 5
6.6%
3 4
 
5.3%
4 2
 
2.6%
5 2
 
2.6%
6 2
 
2.6%
7 1
 
1.3%
8 2
 
2.6%
9 3
 
3.9%
14 1
 
1.3%
ValueCountFrequency (%)
826 1
1.3%
233 1
1.3%
104 1
1.3%
80 1
1.3%
75 2
2.6%
45 1
1.3%
38 1
1.3%
28 1
1.3%
22 1
1.3%
14 1
1.3%

30-34세
Real number (ℝ)

MISSING 

Distinct24
Distinct (%)53.3%
Missing31
Missing (%)40.8%
Infinite0
Infinite (%)0.0%
Mean53.288889
Minimum1
Maximum1199
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size816.0 B
2024-04-16T15:53:16.735167image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median5
Q321
95-th percentile162.6
Maximum1199
Range1198
Interquartile range (IQR)20

Descriptive statistics

Standard deviation182.82414
Coefficient of variation (CV)3.4308116
Kurtosis37.029965
Mean53.288889
Median Absolute Deviation (MAD)4
Skewness5.8915266
Sum2398
Variance33424.665
MonotonicityNot monotonic
2024-04-16T15:53:16.830455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
1 14
18.4%
5 4
 
5.3%
2 3
 
3.9%
3 3
 
3.9%
21 2
 
2.6%
113 1
 
1.3%
78 1
 
1.3%
13 1
 
1.3%
36 1
 
1.3%
4 1
 
1.3%
Other values (14) 14
18.4%
(Missing) 31
40.8%
ValueCountFrequency (%)
1 14
18.4%
2 3
 
3.9%
3 3
 
3.9%
4 1
 
1.3%
5 4
 
5.3%
6 1
 
1.3%
7 1
 
1.3%
8 1
 
1.3%
9 1
 
1.3%
13 1
 
1.3%
ValueCountFrequency (%)
1199 1
1.3%
278 1
1.3%
174 1
1.3%
117 1
1.3%
113 1
1.3%
109 1
1.3%
78 1
1.3%
61 1
1.3%
36 1
1.3%
34 1
1.3%

35-39세
Real number (ℝ)

MISSING 

Distinct24
Distinct (%)55.8%
Missing33
Missing (%)43.4%
Infinite0
Infinite (%)0.0%
Mean52.232558
Minimum1
Maximum1123
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size816.0 B
2024-04-16T15:53:16.922716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median7
Q328.5
95-th percentile153.6
Maximum1123
Range1122
Interquartile range (IQR)26.5

Descriptive statistics

Standard deviation173.62492
Coefficient of variation (CV)3.3240745
Kurtosis36.549079
Mean52.232558
Median Absolute Deviation (MAD)6
Skewness5.8767026
Sum2246
Variance30145.611
MonotonicityNot monotonic
2024-04-16T15:53:17.017603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
1 10
 
13.2%
2 5
 
6.6%
13 2
 
2.6%
15 2
 
2.6%
5 2
 
2.6%
7 2
 
2.6%
68 2
 
2.6%
3 2
 
2.6%
28 1
 
1.3%
29 1
 
1.3%
Other values (14) 14
18.4%
(Missing) 33
43.4%
ValueCountFrequency (%)
1 10
13.2%
2 5
6.6%
3 2
 
2.6%
4 1
 
1.3%
5 2
 
2.6%
6 1
 
1.3%
7 2
 
2.6%
9 1
 
1.3%
10 1
 
1.3%
13 2
 
2.6%
ValueCountFrequency (%)
1123 1
1.3%
234 1
1.3%
160 1
1.3%
96 1
1.3%
87 1
1.3%
82 1
1.3%
69 1
1.3%
68 2
2.6%
30 1
1.3%
29 1
1.3%

40-44세
Real number (ℝ)

MISSING 

Distinct25
Distinct (%)47.2%
Missing23
Missing (%)30.3%
Infinite0
Infinite (%)0.0%
Mean27.811321
Minimum1
Maximum737
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size816.0 B
2024-04-16T15:53:17.132245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median3
Q314
95-th percentile80.2
Maximum737
Range736
Interquartile range (IQR)13

Descriptive statistics

Standard deviation102.03715
Coefficient of variation (CV)3.6689069
Kurtosis47.200071
Mean27.811321
Median Absolute Deviation (MAD)2
Skewness6.7145015
Sum1474
Variance10411.579
MonotonicityNot monotonic
2024-04-16T15:53:17.230033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
1 18
23.7%
2 6
 
7.9%
3 5
 
6.6%
5 3
 
3.9%
40 1
 
1.3%
43 1
 
1.3%
38 1
 
1.3%
14 1
 
1.3%
31 1
 
1.3%
7 1
 
1.3%
Other values (15) 15
19.7%
(Missing) 23
30.3%
ValueCountFrequency (%)
1 18
23.7%
2 6
 
7.9%
3 5
 
6.6%
4 1
 
1.3%
5 3
 
3.9%
6 1
 
1.3%
7 1
 
1.3%
8 1
 
1.3%
9 1
 
1.3%
11 1
 
1.3%
ValueCountFrequency (%)
737 1
1.3%
101 1
1.3%
100 1
1.3%
67 1
1.3%
57 1
1.3%
48 1
1.3%
43 1
1.3%
40 1
1.3%
38 1
1.3%
34 1
1.3%

45-49세
Real number (ℝ)

MISSING 

Distinct18
Distinct (%)40.0%
Missing31
Missing (%)40.8%
Infinite0
Infinite (%)0.0%
Mean17.6
Minimum1
Maximum396
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size816.0 B
2024-04-16T15:53:17.345460image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q310
95-th percentile44
Maximum396
Range395
Interquartile range (IQR)9

Descriptive statistics

Standard deviation59.292189
Coefficient of variation (CV)3.3688744
Kurtosis40.010249
Mean17.6
Median Absolute Deviation (MAD)1
Skewness6.1824979
Sum792
Variance3515.5636
MonotonicityNot monotonic
2024-04-16T15:53:17.462440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
1 15
19.7%
2 8
 
10.5%
6 3
 
3.9%
3 3
 
3.9%
4 2
 
2.6%
44 2
 
2.6%
22 1
 
1.3%
21 1
 
1.3%
37 1
 
1.3%
12 1
 
1.3%
Other values (8) 8
 
10.5%
(Missing) 31
40.8%
ValueCountFrequency (%)
1 15
19.7%
2 8
10.5%
3 3
 
3.9%
4 2
 
2.6%
6 3
 
3.9%
7 1
 
1.3%
9 1
 
1.3%
10 1
 
1.3%
12 1
 
1.3%
17 1
 
1.3%
ValueCountFrequency (%)
396 1
1.3%
60 1
1.3%
44 2
2.6%
37 1
1.3%
29 1
1.3%
22 1
1.3%
21 1
1.3%
18 1
1.3%
17 1
1.3%
12 1
1.3%

50-54세
Real number (ℝ)

MISSING 

Distinct13
Distinct (%)32.5%
Missing36
Missing (%)47.4%
Infinite0
Infinite (%)0.0%
Mean18
Minimum1
Maximum360
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size816.0 B
2024-04-16T15:53:17.546707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2.5
Q38
95-th percentile79.2
Maximum360
Range359
Interquartile range (IQR)7

Descriptive statistics

Standard deviation58.536861
Coefficient of variation (CV)3.2520478
Kurtosis31.691817
Mean18
Median Absolute Deviation (MAD)1.5
Skewness5.439557
Sum720
Variance3426.5641
MonotonicityNot monotonic
2024-04-16T15:53:17.639116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
1 15
19.7%
2 5
 
6.6%
4 3
 
3.9%
7 3
 
3.9%
14 3
 
3.9%
9 2
 
2.6%
3 2
 
2.6%
8 2
 
2.6%
360 1
 
1.3%
83 1
 
1.3%
Other values (3) 3
 
3.9%
(Missing) 36
47.4%
ValueCountFrequency (%)
1 15
19.7%
2 5
 
6.6%
3 2
 
2.6%
4 3
 
3.9%
6 1
 
1.3%
7 3
 
3.9%
8 2
 
2.6%
9 2
 
2.6%
14 3
 
3.9%
52 1
 
1.3%
ValueCountFrequency (%)
360 1
 
1.3%
83 1
 
1.3%
79 1
 
1.3%
52 1
 
1.3%
14 3
3.9%
9 2
2.6%
8 2
2.6%
7 3
3.9%
6 1
 
1.3%
4 3
3.9%

55-59세
Real number (ℝ)

MISSING 

Distinct12
Distinct (%)35.3%
Missing42
Missing (%)55.3%
Infinite0
Infinite (%)0.0%
Mean15.411765
Minimum1
Maximum262
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size816.0 B
2024-04-16T15:53:17.750666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median3
Q38
95-th percentile63.25
Maximum262
Range261
Interquartile range (IQR)7

Descriptive statistics

Standard deviation46.587238
Coefficient of variation (CV)3.0228361
Kurtosis25.449726
Mean15.411765
Median Absolute Deviation (MAD)2
Skewness4.8814611
Sum524
Variance2170.3708
MonotonicityNot monotonic
2024-04-16T15:53:17.839280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
1 13
 
17.1%
3 5
 
6.6%
2 3
 
3.9%
8 3
 
3.9%
4 2
 
2.6%
15 2
 
2.6%
262 1
 
1.3%
9 1
 
1.3%
51 1
 
1.3%
6 1
 
1.3%
Other values (2) 2
 
2.6%
(Missing) 42
55.3%
ValueCountFrequency (%)
1 13
17.1%
2 3
 
3.9%
3 5
 
6.6%
4 2
 
2.6%
6 1
 
1.3%
8 3
 
3.9%
9 1
 
1.3%
14 1
 
1.3%
15 2
 
2.6%
51 1
 
1.3%
ValueCountFrequency (%)
262 1
 
1.3%
86 1
 
1.3%
51 1
 
1.3%
15 2
 
2.6%
14 1
 
1.3%
9 1
 
1.3%
8 3
3.9%
6 1
 
1.3%
4 2
 
2.6%
3 5
6.6%

60-64세
Real number (ℝ)

MISSING 

Distinct11
Distinct (%)40.7%
Missing49
Missing (%)64.5%
Infinite0
Infinite (%)0.0%
Mean9.5555556
Minimum1
Maximum129
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size816.0 B
2024-04-16T15:53:17.921851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q36
95-th percentile28.7
Maximum129
Range128
Interquartile range (IQR)5

Descriptive statistics

Standard deviation24.966644
Coefficient of variation (CV)2.6127884
Kurtosis22.049547
Mean9.5555556
Median Absolute Deviation (MAD)1
Skewness4.5589751
Sum258
Variance623.33333
MonotonicityNot monotonic
2024-04-16T15:53:18.007720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
1 10
 
13.2%
2 6
 
7.9%
3 2
 
2.6%
10 2
 
2.6%
129 1
 
1.3%
4 1
 
1.3%
8 1
 
1.3%
28 1
 
1.3%
5 1
 
1.3%
7 1
 
1.3%
(Missing) 49
64.5%
ValueCountFrequency (%)
1 10
13.2%
2 6
7.9%
3 2
 
2.6%
4 1
 
1.3%
5 1
 
1.3%
7 1
 
1.3%
8 1
 
1.3%
10 2
 
2.6%
28 1
 
1.3%
29 1
 
1.3%
ValueCountFrequency (%)
129 1
 
1.3%
29 1
 
1.3%
28 1
 
1.3%
10 2
 
2.6%
8 1
 
1.3%
7 1
 
1.3%
5 1
 
1.3%
4 1
 
1.3%
3 2
 
2.6%
2 6
7.9%

65-69세
Real number (ℝ)

MISSING 

Distinct8
Distinct (%)38.1%
Missing55
Missing (%)72.4%
Infinite0
Infinite (%)0.0%
Mean4.7619048
Minimum1
Maximum50
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size816.0 B
2024-04-16T15:53:18.107514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q33
95-th percentile9
Maximum50
Range49
Interquartile range (IQR)2

Descriptive statistics

Standard deviation10.648496
Coefficient of variation (CV)2.2361843
Kurtosis18.508233
Mean4.7619048
Median Absolute Deviation (MAD)0
Skewness4.2107032
Sum100
Variance113.39048
MonotonicityNot monotonic
2024-04-16T15:53:18.214817image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
1 12
 
15.8%
3 2
 
2.6%
2 2
 
2.6%
50 1
 
1.3%
5 1
 
1.3%
6 1
 
1.3%
8 1
 
1.3%
9 1
 
1.3%
(Missing) 55
72.4%
ValueCountFrequency (%)
1 12
15.8%
2 2
 
2.6%
3 2
 
2.6%
5 1
 
1.3%
6 1
 
1.3%
8 1
 
1.3%
9 1
 
1.3%
50 1
 
1.3%
ValueCountFrequency (%)
50 1
 
1.3%
9 1
 
1.3%
8 1
 
1.3%
6 1
 
1.3%
5 1
 
1.3%
3 2
 
2.6%
2 2
 
2.6%
1 12
15.8%

70-74세
Categorical

IMBALANCE 

Distinct4
Distinct (%)5.3%
Missing0
Missing (%)0.0%
Memory size740.0 B
<NA>
60 
1
10 
2
 
5
20
 
1

Length

Max length4
Median length4
Mean length3.3815789
Min length1

Unique

Unique1 ?
Unique (%)1.3%

Sample

1st row20
2nd row<NA>
3rd row1
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 60
78.9%
1 10
 
13.2%
2 5
 
6.6%
20 1
 
1.3%

Length

2024-04-16T15:53:18.328248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T15:53:18.416574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 60
78.9%
1 10
 
13.2%
2 5
 
6.6%
20 1
 
1.3%

75-79세
Categorical

IMBALANCE 

Distinct5
Distinct (%)6.6%
Missing0
Missing (%)0.0%
Memory size740.0 B
<NA>
65 
1
 
6
2
 
3
16
 
1
4
 
1

Length

Max length4
Median length4
Mean length3.5789474
Min length1

Unique

Unique2 ?
Unique (%)2.6%

Sample

1st row16
2nd row<NA>
3rd row1
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 65
85.5%
1 6
 
7.9%
2 3
 
3.9%
16 1
 
1.3%
4 1
 
1.3%

Length

2024-04-16T15:53:18.534937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T15:53:18.640287image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 65
85.5%
1 6
 
7.9%
2 3
 
3.9%
16 1
 
1.3%
4 1
 
1.3%

80-84세
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size740.0 B
<NA>
75 
0
 
1

Length

Max length4
Median length4
Mean length3.9605263
Min length1

Unique

Unique1 ?
Unique (%)1.3%

Sample

1st row0
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 75
98.7%
0 1
 
1.3%

Length

2024-04-16T15:53:18.733108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T15:53:18.819373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 75
98.7%
0 1
 
1.3%

85-89세
Categorical

IMBALANCE 

Distinct3
Distinct (%)3.9%
Missing0
Missing (%)0.0%
Memory size740.0 B
<NA>
72 
1
 
3
3
 
1

Length

Max length4
Median length4
Mean length3.8421053
Min length1

Unique

Unique1 ?
Unique (%)1.3%

Sample

1st row3
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 72
94.7%
1 3
 
3.9%
3 1
 
1.3%

Length

2024-04-16T15:53:18.903103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T15:53:18.992498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 72
94.7%
1 3
 
3.9%
3 1
 
1.3%

90-94세
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size740.0 B
<NA>
74 
1
 
2

Length

Max length4
Median length4
Mean length3.9210526
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 74
97.4%
1 2
 
2.6%

Length

2024-04-16T15:53:19.081907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T15:53:19.168301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 74
97.4%
1 2
 
2.6%

일운면
Real number (ℝ)

MISSING 

Distinct9
Distinct (%)36.0%
Missing51
Missing (%)67.1%
Infinite0
Infinite (%)0.0%
Mean11.44
Minimum1
Maximum143
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size816.0 B
2024-04-16T15:53:19.233652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median3
Q34
95-th percentile39.6
Maximum143
Range142
Interquartile range (IQR)3

Descriptive statistics

Standard deviation29.136289
Coefficient of variation (CV)2.5468784
Kurtosis18.91983
Mean11.44
Median Absolute Deviation (MAD)2
Skewness4.2027478
Sum286
Variance848.92333
MonotonicityNot monotonic
2024-04-16T15:53:19.313452image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
1 10
 
13.2%
3 5
 
6.6%
4 4
 
5.3%
143 1
 
1.3%
30 1
 
1.3%
2 1
 
1.3%
42 1
 
1.3%
17 1
 
1.3%
11 1
 
1.3%
(Missing) 51
67.1%
ValueCountFrequency (%)
1 10
13.2%
2 1
 
1.3%
3 5
6.6%
4 4
 
5.3%
11 1
 
1.3%
17 1
 
1.3%
30 1
 
1.3%
42 1
 
1.3%
143 1
 
1.3%
ValueCountFrequency (%)
143 1
 
1.3%
42 1
 
1.3%
30 1
 
1.3%
17 1
 
1.3%
11 1
 
1.3%
4 4
 
5.3%
3 5
6.6%
2 1
 
1.3%
1 10
13.2%

동부면
Real number (ℝ)

MISSING 

Distinct9
Distinct (%)75.0%
Missing64
Missing (%)84.2%
Infinite0
Infinite (%)0.0%
Mean22.166667
Minimum1
Maximum133
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size816.0 B
2024-04-16T15:53:19.397520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11.75
median4.5
Q327.5
95-th percentile84.6
Maximum133
Range132
Interquartile range (IQR)25.75

Descriptive statistics

Standard deviation37.97567
Coefficient of variation (CV)1.7131881
Kurtosis7.5083602
Mean22.166667
Median Absolute Deviation (MAD)3.5
Skewness2.6264723
Sum266
Variance1442.1515
MonotonicityNot monotonic
2024-04-16T15:53:19.477787image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
1 3
 
3.9%
2 2
 
2.6%
133 1
 
1.3%
45 1
 
1.3%
12 1
 
1.3%
35 1
 
1.3%
5 1
 
1.3%
25 1
 
1.3%
4 1
 
1.3%
(Missing) 64
84.2%
ValueCountFrequency (%)
1 3
3.9%
2 2
2.6%
4 1
 
1.3%
5 1
 
1.3%
12 1
 
1.3%
25 1
 
1.3%
35 1
 
1.3%
45 1
 
1.3%
133 1
 
1.3%
ValueCountFrequency (%)
133 1
 
1.3%
45 1
 
1.3%
35 1
 
1.3%
25 1
 
1.3%
12 1
 
1.3%
5 1
 
1.3%
4 1
 
1.3%
2 2
2.6%
1 3
3.9%

남부면
Real number (ℝ)

MISSING 

Distinct8
Distinct (%)80.0%
Missing66
Missing (%)86.8%
Infinite0
Infinite (%)0.0%
Mean14.4
Minimum1
Maximum72
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size816.0 B
2024-04-16T15:53:19.555428image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median5
Q311.75
95-th percentile55.35
Maximum72
Range71
Interquartile range (IQR)9.75

Descriptive statistics

Standard deviation22.682348
Coefficient of variation (CV)1.575163
Kurtosis4.9926093
Mean14.4
Median Absolute Deviation (MAD)3.5
Skewness2.2522121
Sum144
Variance514.48889
MonotonicityNot monotonic
2024-04-16T15:53:19.635820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
1 2
 
2.6%
2 2
 
2.6%
72 1
 
1.3%
13 1
 
1.3%
8 1
 
1.3%
35 1
 
1.3%
6 1
 
1.3%
4 1
 
1.3%
(Missing) 66
86.8%
ValueCountFrequency (%)
1 2
2.6%
2 2
2.6%
4 1
1.3%
6 1
1.3%
8 1
1.3%
13 1
1.3%
35 1
1.3%
72 1
1.3%
ValueCountFrequency (%)
72 1
1.3%
35 1
1.3%
13 1
1.3%
8 1
1.3%
6 1
1.3%
4 1
1.3%
2 2
2.6%
1 2
2.6%

거제면
Real number (ℝ)

MISSING 

Distinct8
Distinct (%)44.4%
Missing58
Missing (%)76.3%
Infinite0
Infinite (%)0.0%
Mean10.333333
Minimum1
Maximum93
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size816.0 B
2024-04-16T15:53:19.721323image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q37.75
95-th percentile35.2
Maximum93
Range92
Interquartile range (IQR)6.75

Descriptive statistics

Standard deviation21.970569
Coefficient of variation (CV)2.1261841
Kurtosis13.247454
Mean10.333333
Median Absolute Deviation (MAD)1
Skewness3.5131887
Sum186
Variance482.70588
MonotonicityNot monotonic
2024-04-16T15:53:19.806551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
1 6
 
7.9%
2 5
 
6.6%
25 2
 
2.6%
93 1
 
1.3%
9 1
 
1.3%
3 1
 
1.3%
7 1
 
1.3%
8 1
 
1.3%
(Missing) 58
76.3%
ValueCountFrequency (%)
1 6
7.9%
2 5
6.6%
3 1
 
1.3%
7 1
 
1.3%
8 1
 
1.3%
9 1
 
1.3%
25 2
 
2.6%
93 1
 
1.3%
ValueCountFrequency (%)
93 1
 
1.3%
25 2
 
2.6%
9 1
 
1.3%
8 1
 
1.3%
7 1
 
1.3%
3 1
 
1.3%
2 5
6.6%
1 6
7.9%

둔덕면
Real number (ℝ)

MISSING 

Distinct9
Distinct (%)75.0%
Missing64
Missing (%)84.2%
Infinite0
Infinite (%)0.0%
Mean28.166667
Minimum1
Maximum169
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size816.0 B
2024-04-16T15:53:19.886308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11.75
median6.5
Q324.75
95-th percentile121.15
Maximum169
Range168
Interquartile range (IQR)23

Descriptive statistics

Standard deviation50.008787
Coefficient of variation (CV)1.7754599
Kurtosis6.1681324
Mean28.166667
Median Absolute Deviation (MAD)5.5
Skewness2.4671306
Sum338
Variance2500.8788
MonotonicityNot monotonic
2024-04-16T15:53:20.219871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
1 3
 
3.9%
2 2
 
2.6%
169 1
 
1.3%
23 1
 
1.3%
14 1
 
1.3%
82 1
 
1.3%
10 1
 
1.3%
3 1
 
1.3%
30 1
 
1.3%
(Missing) 64
84.2%
ValueCountFrequency (%)
1 3
3.9%
2 2
2.6%
3 1
 
1.3%
10 1
 
1.3%
14 1
 
1.3%
23 1
 
1.3%
30 1
 
1.3%
82 1
 
1.3%
169 1
 
1.3%
ValueCountFrequency (%)
169 1
 
1.3%
82 1
 
1.3%
30 1
 
1.3%
23 1
 
1.3%
14 1
 
1.3%
10 1
 
1.3%
3 1
 
1.3%
2 2
2.6%
1 3
3.9%

사등면
Real number (ℝ)

MISSING 

Distinct12
Distinct (%)46.2%
Missing50
Missing (%)65.8%
Infinite0
Infinite (%)0.0%
Mean17.461538
Minimum1
Maximum227
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size816.0 B
2024-04-16T15:53:20.303077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median5
Q311.25
95-th percentile58
Maximum227
Range226
Interquartile range (IQR)10.25

Descriptive statistics

Standard deviation44.994427
Coefficient of variation (CV)2.5767734
Kurtosis20.616382
Mean17.461538
Median Absolute Deviation (MAD)4
Skewness4.4072278
Sum454
Variance2024.4985
MonotonicityNot monotonic
2024-04-16T15:53:20.380397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
1 9
 
11.8%
5 4
 
5.3%
9 2
 
2.6%
2 2
 
2.6%
12 2
 
2.6%
227 1
 
1.3%
67 1
 
1.3%
31 1
 
1.3%
25 1
 
1.3%
8 1
 
1.3%
Other values (2) 2
 
2.6%
(Missing) 50
65.8%
ValueCountFrequency (%)
1 9
11.8%
2 2
 
2.6%
4 1
 
1.3%
5 4
5.3%
8 1
 
1.3%
9 2
 
2.6%
12 2
 
2.6%
17 1
 
1.3%
25 1
 
1.3%
31 1
 
1.3%
ValueCountFrequency (%)
227 1
 
1.3%
67 1
 
1.3%
31 1
 
1.3%
25 1
 
1.3%
17 1
 
1.3%
12 2
2.6%
9 2
2.6%
8 1
 
1.3%
5 4
5.3%
4 1
 
1.3%

연초면
Real number (ℝ)

MISSING 

Distinct17
Distinct (%)85.0%
Missing56
Missing (%)73.7%
Infinite0
Infinite (%)0.0%
Mean32.8
Minimum1
Maximum328
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size816.0 B
2024-04-16T15:53:20.463064image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median15
Q324.25
95-th percentile106.65
Maximum328
Range327
Interquartile range (IQR)21.25

Descriptive statistics

Standard deviation72.569821
Coefficient of variation (CV)2.2124945
Kurtosis16.297978
Mean32.8
Median Absolute Deviation (MAD)11
Skewness3.9349425
Sum656
Variance5266.3789
MonotonicityNot monotonic
2024-04-16T15:53:20.557709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
1 3
 
3.9%
3 2
 
2.6%
2 1
 
1.3%
14 1
 
1.3%
20 1
 
1.3%
24 1
 
1.3%
8 1
 
1.3%
28 1
 
1.3%
16 1
 
1.3%
328 1
 
1.3%
Other values (7) 7
 
9.2%
(Missing) 56
73.7%
ValueCountFrequency (%)
1 3
3.9%
2 1
 
1.3%
3 2
2.6%
6 1
 
1.3%
7 1
 
1.3%
8 1
 
1.3%
14 1
 
1.3%
16 1
 
1.3%
19 1
 
1.3%
20 1
 
1.3%
ValueCountFrequency (%)
328 1
1.3%
95 1
1.3%
34 1
1.3%
28 1
1.3%
25 1
1.3%
24 1
1.3%
21 1
1.3%
20 1
1.3%
19 1
1.3%
16 1
1.3%

하청면
Real number (ℝ)

MISSING 

Distinct10
Distinct (%)58.8%
Missing59
Missing (%)77.6%
Infinite0
Infinite (%)0.0%
Mean13.058824
Minimum1
Maximum111
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size816.0 B
2024-04-16T15:53:20.646241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median3
Q310
95-th percentile41.4
Maximum111
Range110
Interquartile range (IQR)9

Descriptive statistics

Standard deviation26.472794
Coefficient of variation (CV)2.0271959
Kurtosis13.44134
Mean13.058824
Median Absolute Deviation (MAD)2
Skewness3.5414676
Sum222
Variance700.80882
MonotonicityNot monotonic
2024-04-16T15:53:20.729315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
1 5
 
6.6%
2 2
 
2.6%
3 2
 
2.6%
7 2
 
2.6%
111 1
 
1.3%
24 1
 
1.3%
23 1
 
1.3%
4 1
 
1.3%
21 1
 
1.3%
10 1
 
1.3%
(Missing) 59
77.6%
ValueCountFrequency (%)
1 5
6.6%
2 2
 
2.6%
3 2
 
2.6%
4 1
 
1.3%
7 2
 
2.6%
10 1
 
1.3%
21 1
 
1.3%
23 1
 
1.3%
24 1
 
1.3%
111 1
 
1.3%
ValueCountFrequency (%)
111 1
 
1.3%
24 1
 
1.3%
23 1
 
1.3%
21 1
 
1.3%
10 1
 
1.3%
7 2
 
2.6%
4 1
 
1.3%
3 2
 
2.6%
2 2
 
2.6%
1 5
6.6%

장목면
Real number (ℝ)

MISSING 

Distinct8
Distinct (%)50.0%
Missing60
Missing (%)78.9%
Infinite0
Infinite (%)0.0%
Mean17.5
Minimum1
Maximum140
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size816.0 B
2024-04-16T15:53:20.805735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q35.25
95-th percentile98
Maximum140
Range139
Interquartile range (IQR)4.25

Descriptive statistics

Standard deviation38.798625
Coefficient of variation (CV)2.2170643
Kurtosis7.0853377
Mean17.5
Median Absolute Deviation (MAD)1
Skewness2.7207127
Sum280
Variance1505.3333
MonotonicityNot monotonic
2024-04-16T15:53:20.889219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
1 5
 
6.6%
2 5
 
6.6%
140 1
 
1.3%
27 1
 
1.3%
6 1
 
1.3%
84 1
 
1.3%
5 1
 
1.3%
3 1
 
1.3%
(Missing) 60
78.9%
ValueCountFrequency (%)
1 5
6.6%
2 5
6.6%
3 1
 
1.3%
5 1
 
1.3%
6 1
 
1.3%
27 1
 
1.3%
84 1
 
1.3%
140 1
 
1.3%
ValueCountFrequency (%)
140 1
 
1.3%
84 1
 
1.3%
27 1
 
1.3%
6 1
 
1.3%
5 1
 
1.3%
3 1
 
1.3%
2 5
6.6%
1 5
6.6%

장승포동
Real number (ℝ)

MISSING 

Distinct12
Distinct (%)66.7%
Missing58
Missing (%)76.3%
Infinite0
Infinite (%)0.0%
Mean32.222222
Minimum1
Maximum290
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size816.0 B
2024-04-16T15:53:20.973823image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12.25
median5
Q314.5
95-th percentile190.55
Maximum290
Range289
Interquartile range (IQR)12.25

Descriptive statistics

Standard deviation75.731379
Coefficient of variation (CV)2.3502842
Kurtosis8.6643998
Mean32.222222
Median Absolute Deviation (MAD)3.5
Skewness2.986167
Sum580
Variance5735.2418
MonotonicityNot monotonic
2024-04-16T15:53:21.059549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
1 4
 
5.3%
6 2
 
2.6%
3 2
 
2.6%
5 2
 
2.6%
290 1
 
1.3%
19 1
 
1.3%
17 1
 
1.3%
173 1
 
1.3%
2 1
 
1.3%
36 1
 
1.3%
Other values (2) 2
 
2.6%
(Missing) 58
76.3%
ValueCountFrequency (%)
1 4
5.3%
2 1
 
1.3%
3 2
2.6%
4 1
 
1.3%
5 2
2.6%
6 2
2.6%
7 1
 
1.3%
17 1
 
1.3%
19 1
 
1.3%
36 1
 
1.3%
ValueCountFrequency (%)
290 1
1.3%
173 1
1.3%
36 1
1.3%
19 1
1.3%
17 1
1.3%
7 1
1.3%
6 2
2.6%
5 2
2.6%
4 1
1.3%
3 2
2.6%

능포동
Real number (ℝ)

MISSING 

Distinct10
Distinct (%)58.8%
Missing59
Missing (%)77.6%
Infinite0
Infinite (%)0.0%
Mean11.411765
Minimum1
Maximum97
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size816.0 B
2024-04-16T15:53:21.148800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median6
Q38
95-th percentile33.8
Maximum97
Range96
Interquartile range (IQR)6

Descriptive statistics

Standard deviation22.491829
Coefficient of variation (CV)1.9709334
Kurtosis15.459963
Mean11.411765
Median Absolute Deviation (MAD)4
Skewness3.8658094
Sum194
Variance505.88235
MonotonicityNot monotonic
2024-04-16T15:53:21.242136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
1 3
 
3.9%
6 3
 
3.9%
2 2
 
2.6%
7 2
 
2.6%
5 2
 
2.6%
97 1
 
1.3%
10 1
 
1.3%
18 1
 
1.3%
12 1
 
1.3%
8 1
 
1.3%
(Missing) 59
77.6%
ValueCountFrequency (%)
1 3
3.9%
2 2
2.6%
5 2
2.6%
6 3
3.9%
7 2
2.6%
8 1
 
1.3%
10 1
 
1.3%
12 1
 
1.3%
18 1
 
1.3%
97 1
 
1.3%
ValueCountFrequency (%)
97 1
 
1.3%
18 1
 
1.3%
12 1
 
1.3%
10 1
 
1.3%
8 1
 
1.3%
7 2
2.6%
6 3
3.9%
5 2
2.6%
2 2
2.6%
1 3
3.9%

아주동
Real number (ℝ)

MISSING 

Distinct19
Distinct (%)55.9%
Missing42
Missing (%)55.3%
Infinite0
Infinite (%)0.0%
Mean73.882353
Minimum1
Maximum1256
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size816.0 B
2024-04-16T15:53:21.346591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median4.5
Q326.5
95-th percentile271.45
Maximum1256
Range1255
Interquartile range (IQR)24.5

Descriptive statistics

Standard deviation223.54455
Coefficient of variation (CV)3.0256827
Kurtosis25.208524
Mean73.882353
Median Absolute Deviation (MAD)3.5
Skewness4.8050781
Sum2512
Variance49972.168
MonotonicityNot monotonic
2024-04-16T15:53:21.441053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
2 10
 
13.2%
1 5
 
6.6%
5 2
 
2.6%
4 2
 
2.6%
6 1
 
1.3%
25 1
 
1.3%
22 1
 
1.3%
27 1
 
1.3%
7 1
 
1.3%
18 1
 
1.3%
Other values (9) 9
 
11.8%
(Missing) 42
55.3%
ValueCountFrequency (%)
1 5
6.6%
2 10
13.2%
4 2
 
2.6%
5 2
 
2.6%
6 1
 
1.3%
7 1
 
1.3%
14 1
 
1.3%
18 1
 
1.3%
22 1
 
1.3%
25 1
 
1.3%
ValueCountFrequency (%)
1256 1
1.3%
302 1
1.3%
255 1
1.3%
227 1
1.3%
208 1
1.3%
41 1
1.3%
32 1
1.3%
29 1
1.3%
27 1
1.3%
25 1
1.3%

옥포1동
Real number (ℝ)

MISSING 

Distinct22
Distinct (%)44.9%
Missing27
Missing (%)35.5%
Infinite0
Infinite (%)0.0%
Mean26.489796
Minimum1
Maximum649
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size816.0 B
2024-04-16T15:53:21.529608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median4
Q314
95-th percentile76.6
Maximum649
Range648
Interquartile range (IQR)12

Descriptive statistics

Standard deviation93.166545
Coefficient of variation (CV)3.517073
Kurtosis43.873918
Mean26.489796
Median Absolute Deviation (MAD)3
Skewness6.4835246
Sum1298
Variance8680.0051
MonotonicityNot monotonic
2024-04-16T15:53:21.614383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
1 11
14.5%
4 6
 
7.9%
3 5
 
6.6%
2 4
 
5.3%
13 3
 
3.9%
6 2
 
2.6%
7 2
 
2.6%
9 2
 
2.6%
42 1
 
1.3%
18 1
 
1.3%
Other values (12) 12
15.8%
(Missing) 27
35.5%
ValueCountFrequency (%)
1 11
14.5%
2 4
 
5.3%
3 5
6.6%
4 6
7.9%
5 1
 
1.3%
6 2
 
2.6%
7 2
 
2.6%
9 2
 
2.6%
13 3
 
3.9%
14 1
 
1.3%
ValueCountFrequency (%)
649 1
1.3%
94 1
1.3%
89 1
1.3%
58 1
1.3%
50 1
1.3%
42 1
1.3%
34 1
1.3%
29 1
1.3%
27 1
1.3%
26 1
1.3%

옥포2동
Real number (ℝ)

MISSING 

Distinct18
Distinct (%)40.9%
Missing32
Missing (%)42.1%
Infinite0
Infinite (%)0.0%
Mean14.772727
Minimum1
Maximum325
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size816.0 B
2024-04-16T15:53:21.700825image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median4
Q310.25
95-th percentile36.35
Maximum325
Range324
Interquartile range (IQR)9.25

Descriptive statistics

Standard deviation48.956014
Coefficient of variation (CV)3.3139456
Kurtosis39.909803
Mean14.772727
Median Absolute Deviation (MAD)3
Skewness6.2002323
Sum650
Variance2396.6913
MonotonicityNot monotonic
2024-04-16T15:53:21.791315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
1 13
17.1%
5 6
 
7.9%
2 5
 
6.6%
3 3
 
3.9%
11 2
 
2.6%
8 2
 
2.6%
4 2
 
2.6%
27 1
 
1.3%
22 1
 
1.3%
6 1
 
1.3%
Other values (8) 8
 
10.5%
(Missing) 32
42.1%
ValueCountFrequency (%)
1 13
17.1%
2 5
 
6.6%
3 3
 
3.9%
4 2
 
2.6%
5 6
7.9%
6 1
 
1.3%
8 2
 
2.6%
10 1
 
1.3%
11 2
 
2.6%
12 1
 
1.3%
ValueCountFrequency (%)
325 1
1.3%
51 1
1.3%
38 1
1.3%
27 1
1.3%
22 1
1.3%
20 1
1.3%
17 1
1.3%
14 1
1.3%
12 1
1.3%
11 2
2.6%

장평동
Real number (ℝ)

MISSING 

Distinct21
Distinct (%)41.2%
Missing25
Missing (%)32.9%
Infinite0
Infinite (%)0.0%
Mean41.764706
Minimum1
Maximum1065
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size816.0 B
2024-04-16T15:53:21.894596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median4
Q317
95-th percentile167.5
Maximum1065
Range1064
Interquartile range (IQR)16

Descriptive statistics

Standard deviation154.66087
Coefficient of variation (CV)3.7031475
Kurtosis40.177633
Mean41.764706
Median Absolute Deviation (MAD)3
Skewness6.1222993
Sum2130
Variance23919.984
MonotonicityNot monotonic
2024-04-16T15:53:21.988477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
1 18
23.7%
2 5
 
6.6%
4 5
 
6.6%
6 2
 
2.6%
9 2
 
2.6%
8 2
 
2.6%
35 2
 
2.6%
15 2
 
2.6%
5 1
 
1.3%
48 1
 
1.3%
Other values (11) 11
14.5%
(Missing) 25
32.9%
ValueCountFrequency (%)
1 18
23.7%
2 5
 
6.6%
4 5
 
6.6%
5 1
 
1.3%
6 2
 
2.6%
8 2
 
2.6%
9 2
 
2.6%
14 1
 
1.3%
15 2
 
2.6%
19 1
 
1.3%
ValueCountFrequency (%)
1065 1
1.3%
263 1
1.3%
241 1
1.3%
94 1
1.3%
68 1
1.3%
48 1
1.3%
38 1
1.3%
36 1
1.3%
35 2
2.6%
24 1
1.3%

고현동
Real number (ℝ)

MISSING 

Distinct15
Distinct (%)50.0%
Missing46
Missing (%)60.5%
Infinite0
Infinite (%)0.0%
Mean29.733333
Minimum1
Maximum446
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size816.0 B
2024-04-16T15:53:22.073926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median3
Q312.5
95-th percentile109.1
Maximum446
Range445
Interquartile range (IQR)11.5

Descriptive statistics

Standard deviation84.0685
Coefficient of variation (CV)2.8274159
Kurtosis22.24963
Mean29.733333
Median Absolute Deviation (MAD)2
Skewness4.530428
Sum892
Variance7067.5126
MonotonicityNot monotonic
2024-04-16T15:53:22.160643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
1 11
 
14.5%
2 3
 
3.9%
9 2
 
2.6%
5 2
 
2.6%
3 2
 
2.6%
446 1
 
1.3%
6 1
 
1.3%
83 1
 
1.3%
13 1
 
1.3%
25 1
 
1.3%
Other values (5) 5
 
6.6%
(Missing) 46
60.5%
ValueCountFrequency (%)
1 11
14.5%
2 3
 
3.9%
3 2
 
2.6%
5 2
 
2.6%
6 1
 
1.3%
9 2
 
2.6%
11 1
 
1.3%
13 1
 
1.3%
15 1
 
1.3%
25 1
 
1.3%
ValueCountFrequency (%)
446 1
1.3%
119 1
1.3%
97 1
1.3%
83 1
1.3%
26 1
1.3%
25 1
1.3%
15 1
1.3%
13 1
1.3%
11 1
1.3%
9 2
2.6%

상문동
Real number (ℝ)

MISSING 

Distinct9
Distinct (%)45.0%
Missing56
Missing (%)73.7%
Infinite0
Infinite (%)0.0%
Mean14.2
Minimum1
Maximum142
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size816.0 B
2024-04-16T15:53:22.241880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q37
95-th percentile58.4
Maximum142
Range141
Interquartile range (IQR)6

Descriptive statistics

Standard deviation32.809819
Coefficient of variation (CV)2.3105506
Kurtosis13.2744
Mean14.2
Median Absolute Deviation (MAD)1
Skewness3.524526
Sum284
Variance1076.4842
MonotonicityNot monotonic
2024-04-16T15:53:22.326804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
1 7
 
9.2%
2 4
 
5.3%
3 2
 
2.6%
6 2
 
2.6%
142 1
 
1.3%
54 1
 
1.3%
32 1
 
1.3%
10 1
 
1.3%
13 1
 
1.3%
(Missing) 56
73.7%
ValueCountFrequency (%)
1 7
9.2%
2 4
5.3%
3 2
 
2.6%
6 2
 
2.6%
10 1
 
1.3%
13 1
 
1.3%
32 1
 
1.3%
54 1
 
1.3%
142 1
 
1.3%
ValueCountFrequency (%)
142 1
 
1.3%
54 1
 
1.3%
32 1
 
1.3%
13 1
 
1.3%
10 1
 
1.3%
6 2
 
2.6%
3 2
 
2.6%
2 4
5.3%
1 7
9.2%

수양동
Real number (ℝ)

MISSING 

Distinct11
Distinct (%)39.3%
Missing48
Missing (%)63.2%
Infinite0
Infinite (%)0.0%
Mean12.5
Minimum1
Maximum175
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size816.0 B
2024-04-16T15:53:22.415523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2.5
Q36.75
95-th percentile49.7
Maximum175
Range174
Interquartile range (IQR)5.75

Descriptive statistics

Standard deviation34.379688
Coefficient of variation (CV)2.7503751
Kurtosis20.098752
Mean12.5
Median Absolute Deviation (MAD)1.5
Skewness4.3759154
Sum350
Variance1181.963
MonotonicityNot monotonic
2024-04-16T15:53:22.499490image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
1 8
 
10.5%
2 6
 
7.9%
4 3
 
3.9%
11 3
 
3.9%
5 2
 
2.6%
175 1
 
1.3%
6 1
 
1.3%
3 1
 
1.3%
9 1
 
1.3%
70 1
 
1.3%
(Missing) 48
63.2%
ValueCountFrequency (%)
1 8
10.5%
2 6
7.9%
3 1
 
1.3%
4 3
 
3.9%
5 2
 
2.6%
6 1
 
1.3%
9 1
 
1.3%
11 3
 
3.9%
12 1
 
1.3%
70 1
 
1.3%
ValueCountFrequency (%)
175 1
 
1.3%
70 1
 
1.3%
12 1
 
1.3%
11 3
3.9%
9 1
 
1.3%
6 1
 
1.3%
5 2
 
2.6%
4 3
3.9%
3 1
 
1.3%
2 6
7.9%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size740.0 B
Minimum2023-08-22 00:00:00
Maximum2023-08-22 00:00:00
2024-04-16T15:53:22.586891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-16T15:53:22.658229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Sample

구분계(2022년 기준)남여0-4세05-09세10-14세15-19세20-24세25-29세30-34세35-39세40-44세45-49세50-54세55-59세60-64세65-69세70-74세75-79세80-84세85-89세90-94세일운면동부면남부면거제면둔덕면사등면연초면하청면장목면장승포동능포동아주동옥포1동옥포2동장평동고현동상문동수양동데이터기준일자
0합계586141531708108100846338482611991123737396360262129502016031143133729316922732811114029097125664932510654461421752023-08-22
1가나110<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>1<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>1<NA><NA><NA><NA><NA><NA><NA><NA><NA>2023-08-22
2그리스3732511<NA><NA><NA>63933132311<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>22654<NA><NA><NA>2023-08-22
3나이지리아2111<NA><NA><NA><NA><NA><NA>1<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2<NA><NA><NA><NA><NA>2023-08-22
4남아프리카공화국257181<NA><NA><NA>1854111111<NA><NA><NA><NA><NA>3<NA><NA><NA><NA>1<NA><NA><NA><NA><NA>53<NA>16152023-08-22
5네덜란드981<NA><NA><NA><NA><NA><NA><NA>1<NA><NA><NA><NA>4211<NA><NA><NA>1<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>33<NA><NA><NA>22023-08-22
6네팔34532421<NA>1<NA><NA>22751178734621<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>229211<NA>19102554515<NA>2<NA>2023-08-22
7노르웨이26233<NA>11<NA><NA>2113244231<NA><NA><NA>1<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>14541<NA>22023-08-22
8뉴질랜드642<NA><NA><NA><NA><NA><NA>1<NA>13<NA><NA>1<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>1<NA><NA><NA><NA><NA>2<NA>1<NA>1<NA>12023-08-22
9덴마크550<NA><NA><NA><NA><NA><NA><NA><NA>2<NA><NA>21<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>4<NA>1<NA><NA><NA>2023-08-22
구분계(2022년 기준)남여0-4세05-09세10-14세15-19세20-24세25-29세30-34세35-39세40-44세45-49세50-54세55-59세60-64세65-69세70-74세75-79세80-84세85-89세90-94세일운면동부면남부면거제면둔덕면사등면연초면하청면장목면장승포동능포동아주동옥포1동옥포2동장평동고현동상문동수양동데이터기준일자
66튀르키예201821<NA><NA><NA><NA>23651<NA>11<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>12944<NA><NA><NA>2023-08-22
67티모르민주공화국1141140<NA><NA><NA><NA>144536153<NA>1<NA><NA><NA><NA><NA><NA><NA><NA>1254253043103<NA>6<NA><NA>1<NA>2<NA><NA>2023-08-22
68파키스탄321<NA><NA><NA><NA><NA>11<NA><NA>1<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>111<NA>2023-08-22
69폴란드1513211<NA><NA><NA>1<NA>23411<NA><NA><NA>1<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>911<NA><NA>42023-08-22
70프랑스85741174<NA>119131314668<NA>12<NA><NA><NA><NA>3<NA><NA>1<NA><NA><NA><NA>1<NA><NA>2508151<NA>42023-08-22
71핀란드440<NA><NA><NA><NA><NA><NA>2<NA><NA><NA><NA><NA>11<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>211<NA><NA><NA>2023-08-22
72필리핀2736920444226287868382114321<NA>2<NA><NA><NA>11112<NA>5201235229422362610122023-08-22
73한국계러시아인6334<NA><NA><NA><NA><NA><NA><NA>1<NA><NA>1<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>1<NA>4<NA><NA>12023-08-22
74한국계중국인369185184773<NA>4521294344798629921<NA><NA><NA>4428217141277251827941191352023-08-22
75홍콩202<NA><NA><NA><NA><NA><NA><NA><NA>11<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>1<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>1<NA>2023-08-22